{"id":"W2931889821","doi":"10.1016/s2468-2667(19)30041-6","title":"Screening interval: a public health blind spot","year":2019,"lang":"en","type":"letter","venue":"The Lancet Public Health","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Blind spot; Medicine; Public health; Interval (graph theory); Optometry; Computer science; Nursing; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.04234568,0.0006035258,0.002700675,0.0006138914,0.000534878,0.0002948761,0.0008587414,0.0008487855,0.0007166885],"category_scores_gemma":[0.0006287622,0.0004361499,0.0009135086,0.0009238595,0.0001518606,0.0002808892,0.0002663387,0.006284351,0.0007291273],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118326,"about_ca_system_score_gemma":0.007407344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005581491,"about_ca_topic_score_gemma":0.00004831086,"domain_scores_codex":[0.9814083,0.01095496,0.00163068,0.001062664,0.001820629,0.003122756],"domain_scores_gemma":[0.9947792,0.0002414811,0.001113752,0.002659491,0.0003412331,0.0008647906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008763764,0.00007206362,0.0001369021,0.002938198,0.000330213,0.00002797834,0.00060962,3.279749e-7,2.042141e-7,0.0001037995,0.7471212,0.2486508],"study_design_scores_gemma":[0.003515703,0.0005420972,0.004091228,0.000948018,0.00003614402,0.0004705892,0.0001412492,0.0001309715,2.096242e-7,0.00004566025,0.989764,0.000314102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000264774,0.003394531,0.04632881,0.9412158,0.001496207,0.003351382,0.0000990591,0.000497245,0.003352178],"genre_scores_gemma":[0.003494661,0.002297211,0.001103289,0.9636672,0.01693377,0.0001884264,0.002724073,0.000190122,0.009401282],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2483367,"threshold_uncertainty_score":0.999809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2439851910288808,"score_gpt":0.3965275809615301,"score_spread":0.1525423899326493,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}